Skill UI

This guide assists researchers in determining whether a manuscript's topic, methodology, and theoretical contribution are appropriate for a specific theory-building management journal. It provides detailed criteria for evaluating conceptual relationships, suitable methods (SEM, experiment, case study), and appropriate re-routing suggestions for papers that are misaligned with the target journal's scope (e.g., pure math models, macro policy evaluation).

This comprehensive guide teaches authors how to structure and write professional rebuttals to reviewers' comments (R&R). It covers addressing complex critiques across theory contribution, advanced methodologies (e.g., HLM, CMV), measurement validity, and conflicting reviewer opinions. It ensures responses are highly specific, traceable, and academically rigorous.

A comprehensive preflight checklist designed for authors submitting manuscripts to specific academic journals, such as Nankai Business Review. It guides authors through verifying all critical elements, including word count, abstract structure (problem-method-finding-contribution), reference style (GB/T 7714), anonymity compliance, and adherence to the latest journal guidelines. Use this guide right before final submission.

This guide provides a structured methodology for academic writing, enabling researchers to move beyond stating a mere 'lack of research.' It teaches users how to rigorously pinpoint the theoretical gap—such as an unaddressed mechanism, an inexplicable anomaly, or an undefined boundary condition—that existing theories fail to explain. Essential for strengthening the theoretical depth and academic impact of scholarly papers.

A comprehensive workflow router designed to guide researchers through the entire process of preparing manuscripts for top-tier business journals, such as the Nankai Business Review. This guide does not replace specialized skills but provides a structured, stage-gated approach covering theory gap identification, hypothesis development, rigorous measurement validation (e.g., SEM, validity), contextualization, and strategic revision (R&R). It ensures that the paper meets the necessary standards for theoretical contribution and empirical depth.

This skill provides a comprehensive framework for authors targeting top-tier AI conferences like NeurIPS. It guides researchers in refining their manuscript's narrative, ensuring the contribution meets the venue's standards for broad, high-novelty machine learning research. It covers topic fit, evidence bar requirements, structuring the argument, handling interdisciplinary claims, and navigating the specific submission cycle rules for maximizing acceptance chances.

A comprehensive guide for authors submitting to machine learning conferences like NeurIPS. It details the rigorous standards for data splitting, hyperparameter reporting, random-seed protocols, and compute transparency required for a main-track paper. It also helps authors strategically decide between the main track and the MLRC/TMLR routes based on their core contribution (replication vs. novelty).

A comprehensive guide on structuring research papers for top-tier AI conferences (like NeurIPS). It teaches authors how to strategically allocate contributions, proofs, data details, and code artifacts across the main body, text appendices, and separate ZIP files. Use this skill to ensure reviewers can easily identify the core contribution and assess the work's validity without missing crucial supporting details.

This skill guides researchers through the rigorous validation process of their AI/ML paper for NeurIPS. It helps determine if the core contribution is robust enough for the main track, suggests the most appropriate NeurIPS track (e.g., E&D, Position), and refines the contribution type (Theory, Use-Inspired, etc.) to maximize the chances of acceptance.

A comprehensive guide for placing interdisciplinary academic manuscripts within live, cross-field debates. It teaches authors to move beyond simple literature reviews by identifying the precise 'seam'—the unique contribution—that emerges only when braiding together two or more distinct academic literatures, thereby defining the specific gap as an active disagreement.

This comprehensive guide assists researchers in determining the appropriate scope and venue for their networked systems research. It details the core requirements for top-tier conferences like NSDI, distinguishing between Research, Operational Systems, and Frontiers tracks. Furthermore, it provides critical routing advice for differentiating contributions between related venues such as OSDI, SIGCOMM, and FAST, ensuring the work aligns with the correct technical focus.

This comprehensive guide assists reviewers and authors in determining the most appropriate venue for programming language research within the SIGPLAN community. It provides a detailed 'center-of-mass' test, helping categorize contributions based on whether they emphasize metatheory (POPL), performance engineering (PLDI), functional techniques (ICFCP), or the broad design scope characteristic of OOPSLA. It guides the decision-making process for academic submissions.